code: def testAction(self):
      rlt = rl_tuner.RLTuner(
          self.output_dir, note_rnn_checkpoint_dir=self.checkpoint_dir
      )
  
      initial_note = rlt.prime_internal_models()
  
      action = rlt.action(initial_note, 100, enable_random=False)
      self.assertTrue(action is not None)
  
file_path: magenta/magenta/models/rl_tuner/rl_tuner_test.py
imports: import os
  import os.path
  import tempfile
  from magenta.models.rl_tuner import note_rnn_loader
  from magenta.models.rl_tuner import rl_tuner
  import matplotlib
  import matplotlib.pyplot
  import tensorflow.compat.v1
label_desc: Use image node_id 5 for calling the RLTunerTest obj's underlying member method code with example usage: obj.testAction() without return types